David J. Munk

31 papers receiving 534 citations

Peers

David J. Munk
Comparison fields: 5 of 54
  • Civil and Structural Engineering 327
  • Computational Theory and Mathematics 183
  • Mechanics of Materials 188
  • Automotive Engineering 71
  • Statistics, Probability and Uncertainty 34
Replace Seth Watts with:
Seth Watts United States
Yixian Du China
Seung‐Hyun Ha South Korea
Jan Stegmann Germany
Yulin Mei China
Zhao Xu China
Yuanxian Gu China
Y.K. Shyy United States
Sandilya Kambampati United States
Peter W. Christensen Sweden
David J. Munk relative to Seth Watts United States Seth Watts's profile →
Citations per field
00.5×10×15×18×
Seth Watts · 1×
Citations per year

Countries citing papers authored by David J. Munk

Since Specialization
Citations

This map shows the geographic impact of David J. Munk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David J. Munk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Munk more than expected).

Fields of papers citing papers by David J. Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Munk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David J. Munk. The network helps show where David J. Munk may publish in the future.

Co-authors

The 22 scholars most cited alongside David J. Munk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David J. Munk Line = papers co-authored together David J. Munk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015163
2 202273
3 201946
4 201731
5 201728
6 202122
7 201622
8 201720
9 201817
10 201816
11 202116
12 201715
13 201815
14 201815
15 201812
16 201610
17 20168
18 20145
19 20155
20 20203

About David J. Munk

David J. Munk is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials, Computational Mechanics and Aerospace Engineering, having authored 31 papers that have together received 561 indexed citations. Recurring topics across this work include Topology Optimization in Engineering (18 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Composite Structure Analysis and Optimization (10 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Rocket and propulsion systems research (5 papers), Probabilistic and Robust Engineering Design (4 papers), Building Energy and Comfort Optimization (3 papers) and Gas Dynamics and Kinetic Theory (3 papers). The work is most often cited by research in Civil and Structural Engineering (327 citations), Computational Theory and Mathematics (183 citations), Mechanics of Materials (188 citations), Automotive Engineering (71 citations) and Statistics, Probability and Uncertainty (34 citations). David J. Munk has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Gareth A. Vio, Grant P. Steven, Timoleon Kipouros, Dries Verstraete, Ma Qian, Chris Wallbrink, Martin Leary, Joe Elambasseril, Geoffrey T. Parks and Jonathan D. Miller. Their work appears in journals such as Structural and Multidisciplinary Optimization, AIAA Journal, Finite Elements in Analysis and Design, Journal of Thermophysics and Heat Transfer and Smart Materials and Structures.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact